These analyses provide the basic geochemical composition of urban stormwater runoff from rainwater/stormwater that does or has the potential to infiltrate groundwater from Green Infrastructure control measures. These measures are able to mimic the natural landscape with engineered designed systems to enhance stormwater infiltration to groundwater.

This dataset contains results for samples collected at stormwater basins across the United States to assess the potential contaminant pathways of these basins to surface water and groundwater. Sample sites were in stormwater conveyance infrastructure that discharged mixed stormwater runoff from buildings, parking lots, roads, and other infrastructure in residential, commercial, and industrial landscapes prior to surface-water discharge or groundwater infiltration. Stormwater basins draining various types of urban environments, and of various drainage areas, were selected and sampled during storm events. The associated report (Masoner and others, 2019) can be found at https://doi.org/10.1021/acs.est.9b02867. A total of 438 organic compounds were analyzed including biogenic hormones, halogenated chemicals, household/industrial chemicals, methylmercury, pesticides, pharmaceuticals, and semi-volatiles. Additionally, 62 inorganic constituents were collected including cations and anions, rare-earth elements, trace elements and mercury. Rare-earth element and inorganic constituent data can be found in Jaeschke and others, 2018 and Keefe and others, 2018 (citations included in Cross Reference section of this metadata record). Concentration results and land-use descriptions are presented within.

This dataset contains results for samples collected at stormwater basins across the United States to assess the potential contaminant pathways of these basins to surface water and groundwater. Sample sites were in stormwater conveyance infrastructure that discharged mixed stormwater runoff from buildings, parking lots, roads, and other infrastructure in residential, commercial, and industrial landscapes prior to surface-water discharge or groundwater infiltration. Stormwater basins draining various types of urban environments, and of various drainage areas, were selected and sampled during storm events. The associated report (Masoner and others, 2019) can be found at https://doi.org/10.1021/acs.est.9b02867. A total of 438 organic compounds were analyzed including biogenic hormones, halogenated chemicals, household/industrial chemicals, methylmercury, pesticides, pharmaceuticals, and semi-volatiles. Additionally, 62 inorganic constituents were collected including cations and anions, rare-earth elements, trace elements and mercury. Rare-earth element and inorganic constituent data can be found in Jaeschke and others, 2018 and Keefe and others, 2018 (citations included in Cross Reference section of this metadata record). Concentration results and land-use descriptions are presented within.

This study focuses on providing a broad-scale assessment of composition of water chemistry in urban stormwater runoff. The stormwater runoff is a source of recharge to groundwater by Green Infrastructure (GI) practices or it may become a source of recharge to groundwater to reduce stormwater volumes to surface waters or augment groundwater supply. The chemical composition of the stormwater runoff is important to understanding the potential impacts of surface water recharge to groundwater. In this study, 21 field sites were sampled for stormwater runoff during 50 storm events from 7/28/2016 through 12/8/2017. Major elements were measured by inductively coupled plasma-optical emission spectrometry and trace elements were measured by inductively coupled plasma-mass spectrometry. Each sample was analyzed in triplicate and the averages and standard deviations are reported. The results from analyses of associated quality assurance samples (field blanks, field duplicates, and average laboratory blanks) also are presented.

This study focuses on providing a broad-scale assessment of composition of water chemistry in urban stormwater runoff. The stormwater runoff is a source of recharge to groundwater by Green Infrastructure (GI) practices or it may become a source of recharge to groundwater to reduce stormwater volumes to surface waters or augment groundwater supply. The chemical composition of the stormwater runoff is important to understanding the potential impacts of surface water recharge to groundwater. In this study, 21 field sites were sampled for stormwater runoff during 50 storm events from 7/28/2016 through 12/8/2017. Major elements were measured by inductively coupled plasma-optical emission spectrometry and trace elements were measured by inductively coupled plasma-mass spectrometry. Each sample was analyzed in triplicate and the averages and standard deviations are reported. The results from analyses of associated quality assurance samples (field blanks, field duplicates, and average laboratory blanks) also are presented.

This U.S. Geological Survey (USGS) Data Release is focused on the geochemistry of wastewater (including flowback and produced water) samples, co-produced with natural gas, collected from the Marcellus Shale Energy and Environment Laboratory (MSEEL) site. MSEEL is a long-term field site and laboratory at the Northeast Natural Energy LLC (NNE) production facility, adjacent to the Monongahela River, located in western Monongalia County, West Virginia, USA. NNE began drilling two horizontal production wells, MIP (Morgantown Industrial Park) -5H and MIP-3H, in the Marcellus Shale in 2014. The wells were completed in December 2015. Large volumes of wastewater are generated with natural gas production. These wastewaters contain organic and inorganic chemical constituents from fracturing fluids used during drilling and stimulation of gas in host rocks/shale, as well as chemical compounds that are derived from formation water and the solid shale. Many of the organic and inorganic substances in the wastewater are potentially toxic and could pose an environmental risk if released due to spills, leaks, or unsafe disposal practices. Hydraulic fracturing fluid, field blanks, wastewater, and water from the Monongahela River stored in a lined holding pond adjacent to the MIP well pad, were collected from November 2015 through April 2019. The on-site storage tank was sampled from April 2017 through April 2019. Wastewater from the MIP-5H Separator Tank was collected daily at the beginning of the study to annually by the end of the study. One sample was collected from the MIP-3H Separator Tank in May 2018. This data release includes field measurements of temperature, specific conductance, total dissolved solids (TDS), and density; laboratory measurements of pH, non-volatile dissolved organic carbon (NVDOC), alkalinity, major ions, ammonia nitrogen, trace elements, low molecular weight organic acids (LMWOA), semi-volatile hydrocarbons, radium isotopes, and stable isotopes. There are seven files (*.xlsx and .csv) in this dataset: T1_DataDictionary, T2_RestonGeochemistry, T3_Mercury, T4_MenloGeochemistry, T5_pH_Buffers, T6_QAQC, and T7_Stable_Isotopes.

This U.S. Geological Survey (USGS) Data Release is focused on the geochemistry of wastewater (including flowback and produced water) samples, co-produced with natural gas, collected from the Marcellus Shale Energy and Environment Laboratory (MSEEL) site. MSEEL is a long-term field site and laboratory at the Northeast Natural Energy LLC (NNE) production facility, adjacent to the Monongahela River, located in western Monongalia County, West Virginia, USA. NNE began drilling two horizontal production wells, MIP (Morgantown Industrial Park) -5H and MIP-3H, in the Marcellus Shale in 2014. The wells were completed in December 2015. Large volumes of wastewater are generated with natural gas production. These wastewaters contain organic and inorganic chemical constituents from fracturing fluids used during drilling and stimulation of gas in host rocks/shale, as well as chemical compounds that are derived from formation water and the solid shale. Many of the organic and inorganic substances in the wastewater are potentially toxic and could pose an environmental risk if released due to spills, leaks, or unsafe disposal practices. Hydraulic fracturing fluid, field blanks, wastewater, and water from the Monongahela River stored in a lined holding pond adjacent to the MIP well pad, were collected from November 2015 through April 2019. The on-site storage tank was sampled from April 2017 through April 2019. Wastewater from the MIP-5H Separator Tank was collected daily at the beginning of the study to annually by the end of the study. One sample was collected from the MIP-3H Separator Tank in May 2018. This data release includes field measurements of temperature, specific conductance, total dissolved solids (TDS), and density; laboratory measurements of pH, non-volatile dissolved organic carbon (NVDOC), alkalinity, major ions, ammonia nitrogen, trace elements, low molecular weight organic acids (LMWOA), semi-volatile hydrocarbons, radium isotopes, and stable isotopes. There are seven files (*.xlsx and .csv) in this dataset: T1_DataDictionary, T2_RestonGeochemistry, T3_Mercury, T4_MenloGeochemistry, T5_pH_Buffers, T6_QAQC, and T7_Stable_Isotopes.

This dataset characterizes water quality and quantity data from 33 storm events at the influent and effluent of a stormwater treatment vault modified with a Coanda-effect screen in Madison, Wisconsin (2016-17). Event dates, event duration, precipitation depth, 15-minute intensity, 30-minute intensity, 60-minute intensity, event volume, and peak discharge are shown with corresponding influent and effluent concentrations and loads as well as percent reductions and load reductions of total suspended solids (TSS), volatile suspended solids (VSS), suspended sediment concentration (SSC), total phosphorus (TP), and dissolved phosphorus (DP). Data are interpreted in a scientific paper published in the Journal of Sustainable Water in the Built Environment.

This dataset characterizes water quality and quantity data from 33 storm events at the influent and effluent of a stormwater treatment vault modified with a Coanda-effect screen in Madison, Wisconsin (2016-17). Event dates, event duration, precipitation depth, 15-minute intensity, 30-minute intensity, 60-minute intensity, event volume, and peak discharge are shown with corresponding influent and effluent concentrations and loads as well as percent reductions and load reductions of total suspended solids (TSS), volatile suspended solids (VSS), suspended sediment concentration (SSC), total phosphorus (TP), and dissolved phosphorus (DP). Data are interpreted in a scientific paper published in the Journal of Sustainable Water in the Built Environment.

A synoptic sampling campaign was conducted on the Animas River near Silverton, Colorado, under low flow conditions in September 2021. The sampling campaign was designed to quantify constituent loading and identify sources of contamination along a 3.8-kilometer study reach. The study reach began approximately 170 meters upstream of Arrastra Creek and extended downstream to U.S. Geological Survey (USGS) gage 09358000 within the city of Silverton, Colorado. A continuous, instream injection of a sodium bromide tracer was initiated at the head of the study reach three days prior to the start of the sampling campaign and maintained until the completion of main stem sampling. Bromide concentrations were subsequently used to determine streamflow using the tracer-dilution method. Water quality samples were collected at 23 sites along the Animas River main stem, and 28 inflow sites including springs, seeps, small tributaries, and ponded water. Main stem sites were sampled using three sampling approaches. Under the first approach, a subset of 8 main stem sites were sampled "simultaneously" (in less than 20 minutes) to assess the effects of diel variation in constituent concentration. Under the second approach, all main stem sites were sampled with the sampling team working in the downstream-to-upstream direction, a protocol typically used during synoptic sampling. A subset of 5 main stem sites were also sampled using an Equal Discharge Increment approach that was designed to indicate which side of the stream was responsible for the observed constituent loads. This data release includes field parameters (water temperature, pH, and specific conductivity), concentration data (inorganic cations and anions), estimated streamflow, and calculated loads for the sampling campaign. Calculated loads may be used to identify and rank sources of contamination to the Animas River. The data release consists of a kmz file showing site locations and the following 3 tables: Table 1, Locations of sampling sites Table 2, Synoptic sampling results, September 20-21, 2021 Table 3, Spatial profiles of streamflow and constituent load